Advertising-algorithm-competition | 2018、2019 腾讯广告算法大赛/2018IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek

 by   wangle1218 Python Version: Current License: No License

kandi X-RAY | Advertising-algorithm-competition Summary

kandi X-RAY | Advertising-algorithm-competition Summary

Advertising-algorithm-competition is a Python library. Advertising-algorithm-competition has no bugs, it has no vulnerabilities and it has low support. However Advertising-algorithm-competition build file is not available. You can download it from GitHub.

2018、2019 腾讯广告算法大赛/2018IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek
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            kandi-support Support

              Advertising-algorithm-competition has a low active ecosystem.
              It has 161 star(s) with 53 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 497 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Advertising-algorithm-competition is current.

            kandi-Quality Quality

              Advertising-algorithm-competition has 0 bugs and 0 code smells.

            kandi-Security Security

              Advertising-algorithm-competition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Advertising-algorithm-competition code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Advertising-algorithm-competition does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Advertising-algorithm-competition releases are not available. You will need to build from source code and install.
              Advertising-algorithm-competition has no build file. You will be need to create the build yourself to build the component from source.
              Advertising-algorithm-competition saves you 1845 person hours of effort in developing the same functionality from scratch.
              It has 4072 lines of code, 141 functions and 25 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Advertising-algorithm-competition and discovered the below as its top functions. This is intended to give you an instant insight into Advertising-algorithm-competition implemented functionality, and help decide if they suit your requirements.
            • Generate features
            • Fit the model
            • Evaluate the model
            • Runs the prediction function
            • Generate features
            • Compute mean expo time
            • Calculates the winrations for a given window
            • Calculate the cover range number
            • Runs the base model
            • Parse features from a csv file
            • Make feature data
            • Merge two subsampled data
            • Generate the feature features
            • Get seed group
            • Parse features from input file
            • Merge the css data
            • Extract user text features from a dataframe
            • Generate a feature
            • Combine combian features
            • Get result from testcase
            • Load test data
            • Performs xgb prediction
            • Perform lg prediction
            • Concatenate training data
            • Wrapper for LgBCV prediction
            • Generate features for training test
            • Generate fm data
            • Get histogram data
            Get all kandi verified functions for this library.

            Advertising-algorithm-competition Key Features

            No Key Features are available at this moment for Advertising-algorithm-competition.

            Advertising-algorithm-competition Examples and Code Snippets

            No Code Snippets are available at this moment for Advertising-algorithm-competition.

            Community Discussions

            No Community Discussions are available at this moment for Advertising-algorithm-competition.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Advertising-algorithm-competition

            You can download it from GitHub.
            You can use Advertising-algorithm-competition like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/wangle1218/Advertising-algorithm-competition.git

          • CLI

            gh repo clone wangle1218/Advertising-algorithm-competition

          • sshUrl

            git@github.com:wangle1218/Advertising-algorithm-competition.git

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